Sfoglia per Autore GADALETA, MATTEO
Sensor-based surveillance for digitising real-time COVID-19 tracking in the USA (DETECT): a multivariable, population-based, modelling study
2022 Radin, Jennifer M; Quer, Giorgio; Pandit, Jay A; Gadaleta, Matteo; Baca-Motes, Katie; Ramos, Edward; Coughlin, Erin; Quartuccio, Katie; Kheterpal, Vik; Wolansky, Leo M; Steinhubl, Steven R; Topol, Eric J
Artificial Intelligence for Data Analysis and Signal Processing
2019 Gadaleta, Matteo
Deep Learning Techniques for Improving Digital Gait Segmentation
2019 Gadaleta, Matteo; Cisotto, Giulia; Rossi, Michele; Ur Rehman, Rana Zia; Rochester, Lynn; Del Din, Silvia
Comparing DASH adaptation algorithms in a real network environment
2019 Talon, D.; Attanasio, L.; Chiariotti, F.; Gadaleta, M.; Zanella, A.; Rossi, M.
On the Effectiveness of Deep Representation Learning: the Atrial Fibrillation Case
2019 Gadaleta, Matteo; Rossi, Michele; Topol, Eric J; Steinhubl, Steven R; Quer, Giorgio
Prediction of Adverse Glycemic Events from Continuous Glucose Monitoring Signal
2019 Gadaleta, Matteo; Facchinetti, Andrea; Grisan, Enrico; Rossi, Michele
IDNet: Smartphone-based gait recognition with convolutional neural networks
2018 Gadaleta, Matteo; Rossi, Michele
A Bayesian forecasting and anomaly detection framework for vehicular monitoring networks
2017 Scalabrin, Maria; Gadaleta, Matteo; Bonetto, Riccardo; Rossi, Michele
D-DASH: a Deep Q-learning Framework for DASH Video Streaming
2017 Gadaleta, Matteo; Chiariotti, Federico; Rossi, Michele; Zanella, Andrea
Human authentication from ankle motion data using convolutional neural networks
2016 Gadaleta, Matteo; Merelli, Luca; Rossi, Michele
Toward lightweight biometric signal processing for wearable devices
2015 Francescon, Roberto; Hooshmand, Mohsen; Gadaleta, Matteo; Grisan, Enrico; Yoon, Seung Keun; Rossi, Michele
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